Building a Video Generation Model From Scratch, Simply Explained скачать в хорошем качестве

Building a Video Generation Model From Scratch, Simply Explained

What if you could teach an AI to dream in 4D — not just paint pictures, but imagine entire worlds in motion? In this episode, we rip open the hood of video generation AI and build one from absolute scratch, step by step. We're tackling Article 5 of the "Building From Scratch — Explained Simply" series, and this one's a beast. Video generation isn't just "image generation but faster" — it's an exponentially harder problem that requires teaching machines something even human babies struggle with: understanding time, physics, and object permanence. 🔥 Here's what we cover: • Why video generation is the "Final Boss" of AI — and why stitching images together fails spectacularly (the Flip Book Problem) • Temporal consistency: the golden rule that separates dreamy hallucinations from believable video • Space-time patches explained — the brilliant "bread loaf" trick that makes video computationally possible • How temporal attention layers teach an AI the difference between WHAT things are and WHEN things move • Joint denoising: the crucial twist where AI literally learns physics by "cleaning a dirty lens" • Text conditioning: turning your random dream machine into a controllable movie director • Two strategies for generating long videos — autoregressive chunking vs. hierarchical key-frame generation • The staggering cost reality: video generation is 45,000x more expensive than text generation Whether you're an AI enthusiast, a creative professional curious about the tech behind Sora and Runway, or just someone who wants to understand how machines are learning to simulate reality — this one's for you. 👇 Drop a comment: Do you think AI video generators will become "world simulators"? What would YOU generate first? 🔔 Subscribe and hit the bell so you never miss an episode! #AIVideo #VideoGeneration #MachineLearning #Diffusion #Sora #AIExplained #DeepLearning #GenerativeAI 📑 Chapters: 0:00 Welcome to The Bearded AI Guy 0:49 The Final Boss of AI — Video Generation 1:25 Video Is NOT Just Moving Pictures 2:20 The Flip Book Problem 3:50 Temporal Consistency — The Golden Rule 5:04 Object Permanence — AI Learns Like a Baby 6:28 Step 1: Start With an Image Model 8:14 Step 2: The Video Data Pipeline 9:53 Step 3: The Computational Brick Wall 10:43 Space-Time Patches — The Bread Loaf Trick 12:24 Step 4: Brain Surgery — Temporal Attention Layers 15:03 Step 5: Denoising an Entire Movie at Once 17:13 Step 6: Text Conditioning — Director Mode 19:32 Step 7: The Long Video Problem & Solutions 21:59 We Built a Machine That Dreams in 4D 22:55 The Staggering Cost — 45,000x More Than Text 24:56 Six Key Takeaways — Rapid Fire Recap 25:52 Subscribe & Join the Conversation Tags: video generation AI, how video AI works, building video model from scratch, AI video generation explained, temporal consistency AI, space-time patches, diffusion model video, Sora explained, AI world simulator, video diffusion model, generative AI video, AI learns physics, text to video AI, temporal attention layers, deep learning video, AI explained simply, Bearded AI Guy, building from scratch series